#计算机科学# XGBoost的全称是经过优化的分布式梯度提升库,旨在高效、灵活且可移植。提供Python、R、Java、Scala等库
#计算机科学#Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
#计算机科学#Standardized Serverless ML Inference Platform on Kubernetes
#计算机科学#Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
#计算机科学#A python library for decision tree visualization and model interpretation.
#计算机科学#Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
#自然语言处理#A library for debugging/inspecting machine learning classifiers and explaining their predictions
#计算机科学#Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
#计算机科学#Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.
#计算机科学#A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algor...
#计算机科学#Provide an input CSV and a target field to predict, generate a model + code to run it.
#计算机科学#Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
#大语言模型#Distributed ML Training and Fine-Tuning on Kubernetes
#计算机科学#[UNMAINTAINED] Automated machine learning for analytics & production
#计算机科学#MLBox is a powerful Automated Machine Learning python library.
#计算机科学#Time series forecasting with machine learning models
#计算机科学#Scalable machine 🤖 learning for time series forecasting.